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Data Scientist Jobs in Rialto, CA (NOW HIRING)

OC Sports and Entertainment

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related ...

OC Sports and Entertainment

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related ...

OCVIBE

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related ...

OCVIBE

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related ...

Anaheimducks

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Data Scientist Pay Details: The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Data Scientist II On Site: Norco, CA Job Summary We are seeking a talented and driven mid-level Data Scientist to join our evolving and dynamic team. In this role, you will apply advanced data ...

IEHP

Data Scientist II

Rancho Cucamonga, CA · On-site

IEHP is dedicated to healing and inspiring the human spirit, and they are seeking a Data Scientist II to model complex problems and discover insights using various data techniques. This role involves ...

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All JobsData Scientist JobsData Scientist Jobs in Rialto, CA

Data Scientist information

See Rialto, CA salary details

$37.6K

$123.1K

$197K

How much do data scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data scientist in Rialto, CA is $123,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,800.00 and $136,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

Is a data scientist job still in-demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Rialto, CA? The most popular types of Data Scientist jobs in Rialto, CA are:
What are popular job titles related to Data Scientist jobs in Rialto, CA? For Data Scientist jobs in Rialto, CA, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Rialto, CA look for? The top searched job categories for Data Scientist jobs in Rialto, CA are:
What cities near Rialto, CA are hiring for Data Scientist jobs? Cities near Rialto, CA with the most Data Scientist job openings:
Data Scientist jobs near you

Data Scientist

OC Sports and Entertainment

Anaheim, CA • On-site

$100K - $140K/yr

Full-time

Posted 11 days ago

Job description

A great experience starts with you!
Join our team to help create and develop the future of live entertainment and sports in Orange County!
Once you've had a chance to explore our current open positions, apply to the ones you feel best suit you, as an applicant, you can always see your application status in your profile.
Mission: To enrich the lives in our community through shared experiences, welcoming spaces, and responsible actions.
Vision: We will be the social and entertainment center of Orange County - a place where the cultural kaleidoscope of the region converges and connects. Our vibrant, rich collection of experiences will celebrate the diversity of our community.
Values: Be Safe | Do the Right Thing | Be Generous | Include Everyone | Make it Easy | Be Bold
Job Title:
Data Scientist
Pay Details:
The annual base salary range for this position in California is $100,000 to $140,000 per year. The starting pay for the successful candidate depends on various job-related factors, including but not limited to the candidate's geographic location, job-related knowledge, skills, experience, education/training, internal value, peer equity, external market demands, and organizational considerations.
The Data Scientist is responsible for owning the full analytical lifecycle, from problem definition and data extraction through modeling, experimentation, and stakeholder presentation. This role defines and tracks the metrics that measure business performance, designs experiments that produce defensible recommendations, and builds the Power BI dashboards business teams depend on daily, while partnering with cross-functional teams to translate business objectives into data problems and findings into decisions.
Responsibilities
  • Own the full analytical lifecycle, from problem definition and data extraction through modeling, visualization, and stakeholder presentation
  • Define, instrument, and track metrics that measure business initiative success and drive decision-making across the organization
  • Design and execute experiments end-to-end, including hypothesis formation, test design, execution, and translation of results into clear, defensible recommendations
  • Build and maintain Power BI dashboards that give business teams a trusted, self-serve view of performance data
  • Develop and deploy analytical models, including regression, classification, forecasting, or clustering, in real-world production context
  • Apply AI and LLM-powered tooling to accelerate data workflows and give business teams faster answers from complex data
  • Partner with cross-functional teams to translate business objectives into data problems and data findings into decisions

Qualifications
  • 3-5 years of hands-on analytical experience delivering production-grade work
  • Academic background in hard science, such as physics, mathematics, computer science, engineering, or a related quantitative field
  • Production-grade Python and advanced SQL experience, with strong attention to performance, reproducibility, and maintainable code
  • Practical experience applying statistics, including building and validating models, diagnosing failures, and explaining results to non-technical stakeholders without losing rigor
  • Hands-on experience with Power BI or equivalent tools, including dashboards others depend on daily, not proof-of-concepts
  • Demonstrated AI fluency, including experience building something with LLMs or generative AI in a real context, not just following a tutorial
  • Strong written and verbal communication skills, with the ability to present complex findings clearly to any audience
  • AI-native mindset, with experience using AI-assisted tooling as a genuine productivity multiplier, not a novelty

Knowledge, Skills, and Experience
Education - Bachelor's Degree
Experience Required - 3-5 Years
This position is on-site.
Company:
OC Sports & Entertainment, LLC
Our Commitment:
We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, medical condition or any protected category prohibited by local, state or federal laws. We are firm believers that diversity and inclusion among our team members are critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool.
Thanks for your interest in becoming part of OCVIBE!

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